code: def hist_series(
      self: Series,
      by=None,
      ax=None,
      grid: bool = True,
      xlabelsize: int | None = None,
      xrot: float | None = None,
      ylabelsize: int | None = None,
      yrot: float | None = None,
      figsize: tuple[int, int] | None = None,
      bins: int | Sequence[int] = 10,
      backend: str | None = None,
      legend: bool = False,
      **kwargs,
  ):
      """
      Draw histogram of the input series using matplotlib.
  
      Parameters
      ----------
      by : object, optional
          If passed, then used to form histograms for separate groups.
      ax : matplotlib axis object
          If not passed, uses gca().
      grid : bool, default True
          Whether to show axis grid lines.
      xlabelsize : int, default None
          If specified changes the x-axis label size.
      xrot : float, default None
          Rotation of x axis labels.
      ylabelsize : int, default None
          If specified changes the y-axis label size.
      yrot : float, default None
          Rotation of y axis labels.
      figsize : tuple, default None
          Figure size in inches by default.
      bins : int or sequence, default 10
          Number of histogram bins to be used. If an integer is given, bins + 1
          bin edges are calculated and returned. If bins is a sequence, gives
          bin edges, including left edge of first bin and right edge of last
          bin. In this case, bins is returned unmodified.
      backend : str, default None
          Backend to use instead of the backend specified in the option
          ``plotting.backend``. For instance, 'matplotlib'. Alternatively, to
          specify the ``plotting.backend`` for the whole session, set
          ``pd.options.plotting.backend``.
      legend : bool, default False
          Whether to show the legend.
  
      **kwargs
          To be passed to the actual plotting function.
  
      Returns
      -------
      matplotlib.AxesSubplot
          A histogram plot.
  
      See Also
      --------
      matplotlib.axes.Axes.hist : Plot a histogram using matplotlib.
  
      Examples
      --------
      For Series:
  
      .. plot::
          :context: close-figs
  
          >>> lst = ['a', 'a', 'a', 'b', 'b', 'b']
          >>> ser = pd.Series([1, 2, 2, 4, 6, 6], index=lst)
          >>> hist = ser.hist()
  
      For Groupby:
  
      .. plot::
          :context: close-figs
  
          >>> lst = ['a', 'a', 'a', 'b', 'b', 'b']
          >>> ser = pd.Series([1, 2, 2, 4, 6, 6], index=lst)
          >>> hist = ser.groupby(level=0).hist()
      """
      plot_backend = _get_plot_backend(backend)
      return plot_backend.hist_series(
          self,
          by=by,
          ax=ax,
          grid=grid,
          xlabelsize=xlabelsize,
          xrot=xrot,
          ylabelsize=ylabelsize,
          yrot=yrot,
          figsize=figsize,
          bins=bins,
          legend=legend,
          **kwargs,
      )
  
imports: from __future__ import annotations
  import importlib
  from typing import TYPE_CHECKING, Callable, Literal
  from pandas._config import get_option
  from pandas.util._decorators import Appender, Substitution
  from pandas.core.dtypes.common import is_integer, is_list_like
  from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries
  from pandas.core.base import PandasObject
label_desc: Use image node_id 1 for calling a global function with example usage: hist_series(by, ax, grid, xlabelsize, xrot, ylabelsize, yrot, figsize, bins, backend, legend) and returns: plot_backend